Building Resilience for SDN-Enabled IoT Networks in Offshore Renewable Energy Supply

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review


Resilient software-defined Internet of Things (SD-IoT) networks are critical in offshore renewable energy supply (such as offshore wind farms) for wide-area monitoring, protection, automation, and control (WAMPAC). Offshore wind farms transmit time-sensitive data about the turbine performance, power generation, environmental conditions, and critical equipment status to the wind farm offshore landing point or the remote control room. As such, there is a need to guarantee real-time communication to coordinate protection and control actions that maximize production and minimize inadvertent wind farm downtime. This research designs a deep Q-Network (DQN) resilience model that quickly detects disruptions and applies optimal traffic engineering actions at the software-defined network (SDN) controller to guarantee high performance. This resilience model improves the quality of service of the SDN-enabled IoT networks in offshore wind farm communication networks.
Original languageEnglish
Title of host publication2023 IEEE 9th World Forum on Internet of Things (WF-IoT)
Number of pages2
ISBN (Electronic)979-8-3503-1161-7
ISBN (Print)979-8-3503-1162-4
Publication statusPublished - 1 Oct 2023


  • Renewable energy sources
  • Stochastic processes
  • Quality of service
  • Transforms
  • Wind farms
  • Virtual power plants
  • Internet of Things
  • software-defined networking
  • resilience
  • offshore wind farms
  • performance
  • QoS


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